We are innovative. We are dedicated to data
interoperability. Our semantic technologies,
software platforms, and knowledge-based artificial
intelligence methods work to tie all of your
information assets together — from text to XML, Web
content, spreadsheets and databases.

Big Structure

Big Data and massive amounts of content reside everywhere. 90+% of
this data does not talk to any other data. Yet every piece of this
data has characteristics and meaning of one sort or another —
collectively, what is known as Big
Structure.

It is through the understanding and mapping of Big Structure that we
can integrate relevant content and data. Integration is the way to
turn data into operational information.

Big Structure combines appropriate forms of data representation into
meaningful and logical graphs (or "ontologies"). To help construct
these graphs we use reference concepts, such as UMBEL and domain ontologies, and best practices to describe the data. By testing against proven knowledge bases,
such as Wikipedia, we ensure
these Big Structures can be built with coherence, satisfiability, and
consistency.

Our Big Structure approach allows enterprises to start small and build
upon their existing information assets, as budgets allow. As your Big
Structure grows, it becomes a form of universal "master data"
applicable to external parties and Web content. Your enterprise will
have a proprietary portion of Big Structure, but much of the applicable
Big Structure may also leverage open structures, enabling information
to be shared with the Web or across organizations.

Big Data

One central fact of today's enterprises is that legacy and external
data reside in multiple locations and multiple formats. Data
interoperability solutions must respect the investment in existing
information assets and utilize ways for bringing them together in
efficient ways.

Structured Dynamics has not met a form of data that it does not like.
But, whatever the form, we ultimately represent it via RDF
for internal processing. The Resource Description Framework is an
open standard that provides a uniquely capable data model for
representing any data format and any type of data, from document text
to structured databases.

Big Structure is built around this common RDF representation. Our
ability to accurately tag unstructured data (critical since 80% of
information resides in text and documents) with matching domain
concepts and entities means all content
is a first-class citizen in data integration.

Semantic Technologies

Humans communicate via languages and terms, but differences between us create ambiguity — and, often,
error — in what is being understood. These semantic differences are
true for how we describe our perceptions of the world and the things that populate it.

Structured Dynamics is expert in semantic technologies; that is, the
open standards, structures, and logic bases by which these
differences can be identified and resolved to common understandings.
Semantic technologies are an integral part in constructing the
scaffolding of Big Structure.

Semantic technologies are the central component to mediating schema
differences between datasets; driving the tagging of unstructured
data; helping to resolve language ambiguities; and organizing the
logical relationships amongst concepts. The open world approach
underlying these semantic technologies also means that we can
incrementally build the Big Structure scaffolding, girder-by-girder,
while keeping all that has been built before intact.

Knowledge-based
Artificial Intelligence

The growth of the Web has resulted in some tremendous knowledge bases
of entities and concepts (such as Freebase, Wikipedia, or Cyc). Also, virtually every
domain — from finance to pharmaceuticals — has its own rich knowledge
base. Many of these knowledge bases are freely usable: they can be
mined for the concepts and schema that "ground" (or guide) the
alignment of datasets in the wild.

What is new in artificial intelligence (AI) today is how these
massive knowledge bases can inform and guide symbolic computing. The
availability of these knowledge sources has fundamentally changed how
AI is done. These AI improvements can then be fed back upon the
knowledge bases to extend scope or discover previously hidden
inconsistencies.

There is emerging a virtuous circle of improvement between AI machine
learning algorithms and reference knowledge and statistical bases.
Structured Dynamics combines semantic technologies, knowledge bases,
and artificial intelligence to improve the accuracy, completeness and
efficiency of traditional AI methods. We now routinely combine data,
statistics and algorithms to produce impressive mappings and results.

Structure and Data Analysis

Data interoperability begins with data integration, and integration
requires attention to both structure and the actual data. Structure
analysis involves the reviewing of concepts and terminology,
suggesting consistent means for describing and managing datasets,
finding and filling gaps, and then ensuring the resulting graph is
properly connected and (comparatively) complete. Such analysis is
often aided by testing against reference structures.

Data analysis involves traditional data wrangling
tasks, but also often includes data quality and governance
considerations. For re-use and integration purposes, metadata
standards for data curation may also be involved.

Structured Dynamics analysis can either result in direct
implementation or in documented practices for how your organization
should stage and map its content. In either case, this analysis is
also a foundation to business intelligence or knowledge management
functions.

Coding
and Platforms

Structured Dynamics' Open Semantic Framework (OSF) is a complete, turnkey,
software stack for bootstrapping a semantic enterprise. OSF is a
tangible expression of our skills in semantic technologies and
software development. OSF showcases our belief in the use of Big
Structure to not only organize information, but also to help guide
how software platforms may operate and how data may be visualized.

OSF combines third-party software with our own open-source
components. The entire OSF stack is designed for complete
interoperability. The innovative heart of OSF is a layer of 30 Web
services that abstract any instance of the OSF stack and enable
distributed information sharing — via a diversity of data formats —
Web-wide with built-in access controls suitable to enterprise needs.
All of Structured Dynamics' capabilities may be expressed through
OSF.

SD also has many scripts, converters and mappers, often written in
functional
programming languages, to support Big Structure. APIs and documentation
are a special strength of Structured Dynamics' coding capabilities.

New Ideas and Innovation

Structured Dynamics is a company of ideas. We are proven innovators
with a passion for finding ways to interoperate information at low
cost using adaptive and flexible methods. We take the best ideas from
research and our own labs and modify them to work with your existing
assets and capabilities.

Though our longest standing expertise has been in semantic
technologies, we also know that Big Data, the Web, knowledge bases,
and artificial intelligence are remaking our world at unprecedented
speed. It is in the nexus of these forces that the next-generation
enterprise IT demands will emerge.

Research and engagement are essential in such a fast-moving
environment. We welcome your hard problems. Let us show how we can
fulfill your data integration challenges with impressive speed at low
cost. And, in the process, you'll build a foundation suitable for an
unknown future.